Random scan optimization of a laser-plasma electron injector based on fast particle-in-cell simulations

Open Access

Random scan optimization of a laser-plasma electron injector based on fast particle-in-cell simulations

P. Drobniak, E. Baynard, C. Bruni, K. Cassou, C. Guyot, G. Kane, S. Kazamias, V. Kubytskyi, N. Lericheux, B. Lucas, M. Pittman, F. Massimo, A. Beck, A. Specka, P. Nghiem, and D. Minenna

Phys. Rev. Accel. Beams 26, 091302 – Published 21 September 2023

Abstract

The optimization and advanced study of a laser-plasma electron injector are presented based on a truncated ionization injection scheme for high quality beam production. The smilei code is used with laser envelope approximation and a low number of particles per cell to reach computation time performances enabling the production of a large number of accelerator configurations. The developed and tested workflow is a possible approach for the production of a large dataset for laser-plasma accelerator optimization. A selection of functions of merit used to grade generated electron beams is discussed. Among the significant number of configurations, two specific working points are presented in detail. All data generated are left open to the scientific community for further study and optimization.

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Received 17 May 2023
Accepted 15 August 2023

DOI:https://doi.org/10.1103/PhysRevAccelBeams.26.091302

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society